创新经济条件对欧盟国家劳动力市场工人流动的影响分析

Grażyna Węgrzyn, Marcin Salamaga
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引用次数: 0

摘要

本文的主要目的是展示经济创新水平对劳动力市场流动结构影响的实证研究结果。对这些流动的方向和规模进行分析,可以发现劳动力市场的重要特征,从而可以更好地制定和有针对性的政策,以减少失业或使非经济活动人口活跃起来。该研究使用的数据来自劳动力调查(LFS)和欧盟国家2011-2019年期间的实验性工作对工作统计数据。我们对按创新水平分类的经济体分别进行了研究,即创新领导者、强大创新者、中等创新者和新兴创新者。研究结果表明,劳动力市场的流动结构取决于各自经济体的创新水平。该研究的主要贡献在于,它从欧盟各国经济创新水平的角度,确定了欧盟各国劳动力市场的雇员流动模式。采用面板误差修正模型(ECM)和面板因果检验。在创新领导者的国家,终身学习参与率的提高导致员工流动(EE)和工作对工作的员工流动的平行增加。在新兴的创新者国家,越来越多地参与终身学习增加了人员流动率,主要是年轻人(15-24岁年龄组)。
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Analysis of the Impact of Innovative Economic Conditions on the Flow of Workers in the Labour Markets of the European Union Countries
The main purpose of the work is to present the results of empirical research on the impact of innovation levels in the economy on the structure of labour market flows. The analysis of the directions and scale of these flows makes it possible to discover important characteristics of the labour market and thus makes it possible to better construct and target policies to reduce unemployment or activate economically inactive people. The study uses data from the Labour Force Survey (LFS) and experimental job‑to‑job statistics for the European Union (EU) countries, covering the 2011–2019 period. We conducted research separately for selected groups of economies classified by their level of innovation, i.e. Innovation Leaders, Strong Innovators, Moderate Innovators, and Emerging Innovators. The results demonstrate that the structure of flows in a labour market depends on the innovation level of the respective economy. The main contribution of the study is that it identifies employee flow patterns in the labour markets of individual EU countries from the perspective of the innovation levels of their respective economies. Panel error correction models (ECM) and panel causality tests were used. In countries that are Innovation Leaders, an increase in participation in lifelong learning leads to a parallel increase in employee flow (EE) and job‑to‑job employee turnover. In countries that are Emerging Innovators, increasing participation in lifelong learning increases turnover, mainly among young people (15–24 age group).
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
26
审稿时长
16 weeks
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